plot.glmgraph {glmgraph} | R Documentation |
Plot solution path for a fitted
"glmgraph"
object.
## S3 method for class 'glmgraph' plot(x,...)
x |
Fitted |
... |
Other graphical parameters to |
Li Chen <li.chen@emory.edu> , Jun Chen <chen.jun2@mayo.edu>
Li Chen. Han Liu. Hongzhe Li. Jun Chen. (2015) glmgraph: Graph-constrained Regularization for Sparse Generalized Linear Models.(Working paper)
glmgraph
set.seed(1234) library(glmgraph) n <- 100 p1 <- 10 p2 <- 90 p <- p1+p2 X <- matrix(rnorm(n*p), n,p) magnitude <- 1 ### construct laplacian matrix from adjacency matrix A <- matrix(rep(0,p*p),p,p) A[1:p1,1:p1] <- 1 A[(p1+1):p,(p1+1):p] <- 1 diag(A) <- 0 btrue <- c(rep(magnitude,p1),rep(0,p2)) intercept <- 0 eta <- intercept+X%*%btrue diagL <- apply(A,1,sum) L <- -A diag(L) <- diagL ### gaussian Y <- eta+rnorm(n) obj <- glmgraph(X,Y,L) plot(obj) ### binomial Y <- rbinom(n,1,prob=1/(1+exp(-eta))) obj <- glmgraph(X,Y,L,family="binomial") plot(obj)